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1

King, Thomas C., Marina De Vos, Virginia Dignum, Catholijn M. Jonker, Tingting Li, Julian Padget und M. Birna van Riemsdijk. „Automated multi-level governance compliance checking“. Autonomous Agents and Multi-Agent Systems 31, Nr. 6 (06.04.2017): 1283–343. http://dx.doi.org/10.1007/s10458-017-9363-y.

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2

Soliman-Junior, Joao, Patricia Tzortzopoulos, Juliana Parise Baldauf, Barbara Pedo, Mike Kagioglou, Carlos Torres Formoso und Julian Humphreys. „Automated compliance checking in healthcare building design“. Automation in Construction 129 (September 2021): 103822. http://dx.doi.org/10.1016/j.autcon.2021.103822.

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3

Zhou, Yilun, Jianjun She, Yixuan Huang, Lingzhi Li, Lei Zhang und Jiashu Zhang. „A Design for Safety (DFS) Semantic Framework Development Based on Natural Language Processing (NLP) for Automated Compliance Checking Using BIM: The Case of China“. Buildings 12, Nr. 6 (07.06.2022): 780. http://dx.doi.org/10.3390/buildings12060780.

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For design for safety (DFS), automated compliance checking methods have received extensive attention. Although many research efforts have indicated the potential of BIM and ontology for automated compliance checking, an efficient methodology is still required for the interoperability and semantic representation of data from different sources. Therefore, a natural language processing (NLP)-based semantic framework is proposed in this paper, which implements rules-based automated compliance checking for building information modeling (BIM) at the design stage. Semantic-rich information can be extracted from safety regulations by NLP methods, which were analyzed to generate conceptual classes and individuals of ontology and provide a corpus basis for rule classification. The data on BIM was extracted from Revit to a spreadsheet using the Dynamo tool and then mapped to the ontology using the Cellfie tool. The interoperability of different source data was well improved through the isomorphism of information in the framework of semantic integration, causing data processed by the semantic web rule language to be transformed from safety regulations to achieve the purpose that automated compliance checking is implemented in the design documents. The practicability and scientific feasibility of the proposed framework was verified through a 95.21% recall and a 90.63% precision in compliance checking of a case study in China. Compared with traditional compliance checking methods, the proposed framework had high efficiency, response speed, data interoperability, and interaction.
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Sun, Hongwei, und Inhan Kim. „APPLYING AI TECHNOLOGY TO RECOGNIZE BIM OBJECTS AND VISIBLE PROPERTIES FOR ACHIEVING AUTOMATED CODE COMPLIANCE CHECKING“. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 28, Nr. 6 (15.06.2022): 497–508. http://dx.doi.org/10.3846/jcem.2022.16994.

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Automated code compliance checking is an effective approach for assessing the quality of building information modeling (BIM) models. Various automated code compliance checking systems have emerged, wherein users need to input all information accurately according to BIM modeling guidelines, in order to ensure the accuracy of checking results. However, as this process involves human inputs, it is difficult to ensure that each input is accurate. In the case of errors or missing inputs, the checking results will be erroneous. Although automated checking systems can be developed accurately, it is difficult to apply these systems practically. Therefore, this paper proposes the application of AI technology to recognize BIM objects and visible properties, in order to improve the operability of automated code compliance checking. The two necessary elements – object names and properties – could be automatically extracted to a certain extent, following the application of the proposed method to the automated code checking process. The error rate of the input could also be reduced, thus making the application of the code checking system more practically feasible. The proposed recognition method for BIM objects and visible properties is also expected to be used widely in BIM-based building e-submission systems and BIM-based forward designs.
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Tan, Xiangyang, Amin Hammad und Paul Fazio. „Automated Code Compliance Checking for Building Envelope Design“. Journal of Computing in Civil Engineering 24, Nr. 2 (März 2010): 203–11. http://dx.doi.org/10.1061/(asce)0887-3801(2010)24:2(203).

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6

Nahangi, Mohammad, und Carl T. Haas. „Automated 3D compliance checking in pipe spool fabrication“. Advanced Engineering Informatics 28, Nr. 4 (Oktober 2014): 360–69. http://dx.doi.org/10.1016/j.aei.2014.04.001.

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7

Janpitak, Nanta, und Chanboon Sathitwiriyawong. „Automated Compliance Checking Methodology for Non-Log Operations“. Information Security Journal: A Global Perspective 24, Nr. 4-6 (18.08.2015): 98–108. http://dx.doi.org/10.1080/19393555.2015.1067340.

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8

Wu, Jin, Xiaorui Xue und Jiansong Zhang. „Invariant Signature, Logic Reasoning, and Semantic Natural Language Processing (NLP)-Based Automated Building Code Compliance Checking (I-SNACC) Framework“. Journal of Information Technology in Construction 28 (24.01.2023): 1–18. http://dx.doi.org/10.36680/j.itcon.2023.001.

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Traditional manual building code compliance checking is costly, time-consuming, and human error-prone. With the adoption of Building Information Modeling (BIM), automation in such a checking process becomes more feasible. However, existing methods still face limited automation when applied to different building codes. To address that, in this paper, the authors proposed a new framework that requires minimal input from users and strives for full automation, namely, the Invariant signature, logic reasoning, and Semantic Natural language processing (NLP)-based Automated building Code compliance Checking (I-SNACC) framework. The authors developed an automated building code compliance checking (ACC) prototype system under this framework and tested it on Chapter 10 of the International Building Codes 2015 (IBC 2015). The system was tested on two real projects and achieved 95.2% precision and 100% recall in non-compliance detection. The experiment showed that the framework is promising in building code compliance checking. Compared to the state-of-the-art methods, the new framework increases the degree of automation and saves manual efforts for finding non-compliance cases.
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İlal, M. Emre, und M. Emre İlal. „Integrating building and context information for automated zoning code checking: a review“. Journal of Information Technology in Construction 27 (23.05.2022): 548–70. http://dx.doi.org/10.36680/j.itcon.2022.027.

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Interoperability approaches have attracted much attention in the AEC/FM industry with the increased interest in Building Information Modeling (BIM) studies since 2000’s. Especially, the integration of BIM with GIS is crucial for areas, which need detailed information on buildings and their surroundings. Automated code compliance checking against zoning codes is an area that requires both zoning data and building design data. In an ideal automated zoning code checking process, building codes should be retrieved from the responsible authority, data regarding the neighborhood the project is located in should be retrieved directly from the local municipality’s GIS, and the building project should be supplied by the designer as a BIM file. The checking process should be able to work with a combination of GIS and BIM data and generate a compliance report. Although recent BIM-GIS integration efforts have been successful in some areas, BIM-GIS integration studies in the context of automated zoning code compliance checking are limited, and the data interoperability problem in this field still needs to be addressed. This paper intends to (1) provide a critical review and analysis of the current BIM and GIS integration studies for building permit processes, (2) present the opportunities that the implementation of integrating BIM and GIS might bring to the automated zoning compliance checking domain and (3) identify promising integration approaches for future efforts.
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Fuchs, S., M. Witbrock, J. Dimyadi und R. Amor. „Neural Semantic Parsing of Building Regulations for Compliance Checking“. IOP Conference Series: Earth and Environmental Science 1101, Nr. 9 (01.11.2022): 092022. http://dx.doi.org/10.1088/1755-1315/1101/9/092022.

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Abstract Computerising building regulations to allow reasoning is one of the main challenges in automated compliance checking in the built environment. While there has been a long history of translating regulations manually, in recent years, natural language processing (NLP) has been used to support or automate this task. While rule- and ontology-based information extraction and transformation approaches have achieved accurate translations for narrow domains and specific regulation types, machine learning (ML) promises increased scalability and adaptability to new regulation styles. Since ML usually requires many annotated examples as training data, we take advantage of the long history of building code computerisation and use a corpus of manually translated regulations to train a transformer-based encoder-decoder model. Given a relatively small corpus, the model learns to predict the logical structure and extracts entities and relations reasonably well. While the translation quality is not adequate to fully automate the process, the model shows the potential to serve as an auto-completion system and to identify manually translated regulations that need to be reviewed.
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Malsane, Sagar, Jane Matthews, Steve Lockley, Peter E. D. Love und David Greenwood. „Development of an object model for automated compliance checking“. Automation in Construction 49 (Januar 2015): 51–58. http://dx.doi.org/10.1016/j.autcon.2014.10.004.

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12

Macit İlal, Sibel, und H. Murat Günaydın. „Computer representation of building codes for automated compliance checking“. Automation in Construction 82 (Oktober 2017): 43–58. http://dx.doi.org/10.1016/j.autcon.2017.06.018.

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13

Doukari, Omar, David Greenwood, Kay Rogage und Mohamad Kassem. „Object-centred automated compliance checking: a novel, bottom-up approach“. Journal of Information Technology in Construction 27 (19.04.2022): 335–62. http://dx.doi.org/10.36680/j.itcon.2022.017.

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Building Information Modelling (BIM) is changing how built assets are delivered and operated. A built asset is represented as a set of objects, each with an identity, attributes, and relations. This object-oriented nature enables new approaches for ensuring compliance with a range of requirements: e.g. industry guidelines; pro-ject and client-specific requirements; and building codes and standards. Furthermore, bottom-up design ap-proaches are known to be more suitable for quality control and design errors detection. Based on an adapted version of simulated annealing concept, this paper proposes an automated compliance checking classification and identifies a set of desired characteristics these methods should fulfil. It then demonstrates a bottom-up object-centred approach for automated model checking and the corresponding plugin prototype. The approach and the prototype enable four key processes and satisfy all desired characteristics of compliance checking methods including content validation, model completeness, smart object, and design option checking. To demonstrate the feasibility and accuracy of the approach, two case studies are processed using existing BIM objects libraries one of which is created by a major French manufacturer. All four steps were successfully completed, and the results show savings of around 125 minutes per object between the automated approach and traditional manual methods of working.
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Gao, H., und B. Zhong. „A blockchain-based framework for supporting BIM-based building code compliance checking workflow“. IOP Conference Series: Materials Science and Engineering 1218, Nr. 1 (01.01.2022): 012016. http://dx.doi.org/10.1088/1757-899x/1218/1/012016.

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Abstract Code compliance checking of building designs is an essential task during the design and construction process, this process is time-consuming and laborious, and there is a risk of human manipulation, collusion and tampering with the results during the process. Existing BIM automated compliance checking technologies can reduce human errors and automatically output drawing review reports in some domains. But there are still few provisions that can be automatically reviewed, and most of the provisions still require human intervention. This research proposes a blockchain-based framework for managing both automated and manual compliance review processes in a BIM environment. The framework is developed to help improve the traceability and transparency of the compliance review process in the BIM environment. The framework includes on-chain and off-chain solutions for addressing the management issues in the code checking process. The prospects of the solution, challenges in implementation and future research directions were discussed.
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Salama, Dareen M., und Nora M. El-Gohary. „Semantic Text Classification for Supporting Automated Compliance Checking in Construction“. Journal of Computing in Civil Engineering 30, Nr. 1 (Januar 2016): 04014106. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000301.

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16

Arantes, Eduardo, Paulo Roberto Pereira Andery, Flávio Andrade, Daniel Paes und Javier Irizarry. „Development and analysis of an automated performance code checking workflow“. Ambiente Construído 22, Nr. 2 (Juni 2022): 27–42. http://dx.doi.org/10.1590/s1678-86212022000200592.

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Abstract This study aimed to evaluate the applicability, accuracy, and challenges involved in the automated checking of design requirements specified by a Performance Code (PC) using a BIM (Building Information Modeling)-enabled model checker software application. Specific goals include: (a) definition of a workflow for the parameterization of a set of computational rules addressing part of the PC design requirements, (b) testing and evaluation of the proposed parameterization using a BIM model of a real large-scale housing project, and (c) comparison of accuracy and checking times between manual and automated methods. The research team developed and tested the automated checking of approximately one-third of the requirements. Findings indicate a substantial checking time decrease and an increase in the number of nonconformities detected through the automated method in comparison to the traditional technique of compliance assessment.
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Jiang, Liu, Jianyong Shi, Zeyu Pan, Chaoyu Wang und Nazhaer Mulatibieke. „A Multiscale Modelling Approach to Support Knowledge Representation of Building Codes“. Buildings 12, Nr. 10 (09.10.2022): 1638. http://dx.doi.org/10.3390/buildings12101638.

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Knowledge representations of building codes are essential and critical resources for the organization, retrieval, sharing, and reuse of implicit knowledge in the AEC industry. Against this background, traditional code compliance checking is time-consuming and error-prone. This research aimed to utilize various knowledge representation techniques to establish a knowledge model of building codes to facilitate the automated code compliance checking. The proposed knowledge model consists of three levels to achieve conceptual, logical, and correlational representations of building codes. The concept-level model provides the basic knowledge elements. The clause-level model was developed based on a unified top schema and provides the conceptual graph, mapping logics, and checking logics of each clause. The code-level model is constructed based on the explicit cross-references and semantic connections between clauses. The investigations on the model applications indicate two aspects. On the one hand, the proposed knowledge model shows high potential for semantic searching and knowledge recommendation. On the other hand, the automated code-compliance-checking processes based on the proposed multiscale knowledge model can achieve three main advantages: guiding designers to create a building model with completely necessary information, mitigating the differences between building information and regulatory information, and making the checking procedures more friendly and relatively transparent to users.
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Eid, A. S., M. M. Aboulnaga und A. H. Mahmoud. „VPL-based Code Compliance Checking for Building Envelope Design Using OTTV Calculation“. IOP Conference Series: Earth and Environmental Science 1056, Nr. 1 (01.08.2022): 012033. http://dx.doi.org/10.1088/1755-1315/1056/1/012033.

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Abstract Building Envelope plays a vital role in reducing thermal loads, minimizing energy consumption, and ensuring sustainability. The Overall Thermal Transfer Value (OTTV) is a recognized method to evaluate the thermal performance of buildings. Building Information Modelling (BIM) has added great value to the AEC industry as an efficient tool to facilitate the building design process. With the development of BIM, more properties and material characteristics are assigned to the project design and building model that are getting more complex. Meanwhile, performing OTTV assessment and checking compliance with the assigned values involving time-consuming calculations with the possibility of ambiguity. Hence, automation of the code compliance checking process has become on-demand within the BIM environment. The objective is to develop a Visual Programming Language (VPL)-based script for automating the OTTV rule-based code compliance checking process. The applied method is to integrate BIM, VPL, and OTTV requirements; and develop a visual script that is responsible for extracting parameters from the BIM model, performing OTTV calculation, comparing output with assigned standard values of OTTV aiming answering the research question whether automated code compliance checking process can contribute to code compliance facilitation effectively. The results indicate that integrating VPL into the code compliance checking process has promising signs in facilitating the compliance checking process, increasing the accuracy and reliability of outcomes.
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Zheng, Zhe, Yu-Cheng Zhou, Xin-Zheng Lu und Jia-Rui Lin. „Knowledge-informed semantic alignment and rule interpretation for automated compliance checking“. Automation in Construction 142 (Oktober 2022): 104524. http://dx.doi.org/10.1016/j.autcon.2022.104524.

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20

Zhou, Peng, und Nora El-Gohary. „Domain-Specific Hierarchical Text Classification for Supporting Automated Environmental Compliance Checking“. Journal of Computing in Civil Engineering 30, Nr. 4 (Juli 2016): 04015057. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000513.

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21

Zhang, Jiansong, und Nora M. El-Gohary. „Semantic-Based Logic Representation and Reasoning for Automated Regulatory Compliance Checking“. Journal of Computing in Civil Engineering 31, Nr. 1 (Januar 2017): 04016037. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000583.

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Zhang, Zijing, Nicholas Nisbet, Ling Ma und Tim Broyd. „Capabilities of rule representations for automated compliance checking in healthcare buildings“. Automation in Construction 146 (Februar 2023): 104688. http://dx.doi.org/10.1016/j.autcon.2022.104688.

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23

Song, Liang, Jianmin Wang, Lijie Wen und Hui Kong. „Efficient Semantics-Based Compliance Checking Using LTL Formulae and Unfolding“. Journal of Applied Mathematics 2013 (2013): 1–24. http://dx.doi.org/10.1155/2013/962765.

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Business process models are required to be in line with frequently changing regulations, policies, and environments. In the field of intelligent modeling, organisations concern automated business process compliance checking as the manual verification is a time-consuming and inefficient work. There exist two key issues for business process compliance checking. One is the definition of a business process retrieval language that can be employed to capture the compliance rules, the other concerns efficient evaluation of these rules. Traditional syntax-based retrieval approaches cannot deal with various important requirements of compliance checking in practice. Although a retrieval language that is based on semantics can overcome the drawback of syntax-based ones, it suffers from the well-known state space explosion. In this paper, we define a semantics-based process model query language through simplifying a property specification pattern system without affecting its expressiveness. We use this language to capture semantics-based compliance rules and constraints. We also propose a feasible approach in such a way that the compliance checking will not suffer from the state space explosion as much as possible. A tool is implemented to evaluate the efficiency. An experiment conducted on three model collections illustrates that our technology is very efficient.
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Aydın, Murat. „Building Information Modeling Based Automated Building Regulation Compliance Checking Asp.net Web Software“. Intelligent Automation & Soft Computing 28, Nr. 1 (2021): 11–25. http://dx.doi.org/10.32604/iasc.2021.015065.

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25

Xue, Xiaorui, und Jiansong Zhang. „Regulatory information transformation ruleset expansion to support automated building code compliance checking“. Automation in Construction 138 (Juni 2022): 104230. http://dx.doi.org/10.1016/j.autcon.2022.104230.

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26

Temel, Bayram Ali, und Hasan Basri Başağa. „Investigation of IFC file format for BIM based automated code compliance checking“. Journal of Construction Engineering, Management & Innovation 3, Nr. 2 (30.06.2020): 113–30. http://dx.doi.org/10.31462/jcemi.2020.02113130.

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27

Beach, Thomas H., Jean-Laurent Hippolyte und Yacine Rezgui. „Towards the adoption of automated regulatory compliance checking in the built environment“. Automation in Construction 118 (Oktober 2020): 103285. http://dx.doi.org/10.1016/j.autcon.2020.103285.

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28

Kincelova, Kristina, Conrad Boton, Pierre Blanchet und Christian Dagenais. „Fire Safety in Tall Timber Building: A BIM-Based Automated Code-Checking Approach“. Buildings 10, Nr. 7 (08.07.2020): 121. http://dx.doi.org/10.3390/buildings10070121.

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Fire safety regulations impose very strict requirements on building design, especially for buildings built with combustible materials. It is believed that it is possible to improve the management of these regulations with a better integration of fire protection aspects in the building information modeling (BIM) approach. A new BIM-based domain is emerging, the automated code checking, with its growing number of dedicated approaches. However, only very few of these works have been dedicated to managing the compliance to fire safety regulations in timber buildings. In this paper, the applicability to fire safety in the Canadian context is studied by constituting and executing a complete method from the regulations text through code-checking construction to result analysis. A design science approach is used to propose a code-checking method with a detailed analysis of the National Building Code of Canada (NBCC) in order to obtain the required information. The method starts by retrieving information from the regulation text, leading to a compliance check of an architectural building model. Then, the method is tested on a set of fire safety regulations and validated on a building model from a real project. The selected fire safety rules set a solid basis for further development of checking rules for the field of fire safety. This study shows that the main challenges for rule checking are the modeling standards and the elements’ required levels of detail. The implementation of the method was successful for geometrical as well as non-geometrical requirements, although further work is needed for more advanced geometrical studies, such as sprinkler or fire dampers positioning.
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Khattra, Satinder Kaur, Hardeep Singh Rai und Jagbir Singh. „Towards Automated Structural Stability Design of Buildings—A BIM-Based Solution“. Buildings 12, Nr. 4 (06.04.2022): 451. http://dx.doi.org/10.3390/buildings12040451.

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Building information modelling (BIM) is a revolution in the architectural, engineering, and construction (AEC) industry. In the AEC industry, several interesting innovations are being introduced every day. Most of the code compliance work, which is time-consuming and quite multifaceted, is now performed manually. The number of unwanted errors is increasing, and any suspension of the project is led by the structural code-checking system, and is a tiresome process. Subsequently, the BIM-based model is presented to automate the structural stability design of buildings. The Industry Foundation Classes (IFC) specification is introduced in this work, and is used to automate the building design processes to achieve design correctness and efficiency. The IFC-based interoperability framework is presented to automate the design of structural elements of RC buildings. Consequently, a deep multi-perception-based generalized adaptive framework (DMPBGAF) is presented for the automated code compliance checking process. The concepts and relationships in the building code were automatically matched to their equivalent concepts. A building code was checked against the Indian seismic code IS 13920, and when shear wall data were presented in this IFC file, it exchanged the data with the custom engine. It is possible to eliminate the unwanted issues based on the automated code compliance system with BIM. This goal can be accomplished by using a coding rule-based engine to compile the BIM model and store the design code of the specific country with its clauses. After generating the Python file to code all of the prepared checks, the python file in the form of functions was obtained from the IfcOpenShell library. Finally, a rule engine was developed for interpretation of the checks; the three model IFC files were tested on this, and it gave satisfactory results. The FreeCAD software was employed in this research for the IFC-based BIM model to automate the design. The shear wall data were presented in the first IFC model; all of the code checks were passed based on this modelled design, and when given to the rule engine, it gave a 100% compliance report. Insufficiently reinforced shear wall data contained in the other two IFC files were purposely created to fail some of the code checks. This method significantly reduces the time by eliminating the duplication of efforts. From the viewpoint of accuracy and reliability, the proposed method is more accurate and results in enhanced reliability as compared to manual design methods.
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Nash, Edward, Jens Wiebensohn, Raimo Nikkilä, Anna Vatsanidou, Spyros Fountas und Ralf Bill. „Towards automated compliance checking based on a formal representation of agricultural production standards“. Computers and Electronics in Agriculture 78, Nr. 1 (August 2011): 28–37. http://dx.doi.org/10.1016/j.compag.2011.05.009.

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31

Zhang, Jiansong, und Nora M. El-Gohary. „Semantic NLP-Based Information Extraction from Construction Regulatory Documents for Automated Compliance Checking“. Journal of Computing in Civil Engineering 30, Nr. 2 (März 2016): 04015014. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000346.

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Zhong, B. T., L. Y. Ding, H. B. Luo, Y. Zhou, Y. Z. Hu und H. M. Hu. „Ontology-based semantic modeling of regulation constraint for automated construction quality compliance checking“. Automation in Construction 28 (Dezember 2012): 58–70. http://dx.doi.org/10.1016/j.autcon.2012.06.006.

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Zhou, Yu-Cheng, Zhe Zheng, Jia-Rui Lin und Xin-Zheng Lu. „Integrating NLP and context-free grammar for complex rule interpretation towards automated compliance checking“. Computers in Industry 142 (November 2022): 103746. http://dx.doi.org/10.1016/j.compind.2022.103746.

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34

Salama, Dareen A., und Nora M. El-Gohary. „Automated Compliance Checking of Construction Operation Plans Using a Deontology for the Construction Domain“. Journal of Computing in Civil Engineering 27, Nr. 6 (November 2013): 681–98. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000298.

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35

Kovacs, Adam Tamas, und Andras Micsik. „BIM quality control based on requirement linked data“. International Journal of Architectural Computing 19, Nr. 3 (13.05.2021): 431–48. http://dx.doi.org/10.1177/14780771211012175.

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This article discusses a BIM Quality Control Ecosystem that is based on Requirement Linked Data in order to create a framework where automated BIM compliance checking methods can be widely used. The meaning of requirements is analyzed in a building project context as a basis for data flow analysis: what are the main types of requirements, how they are handled, and what sources they originate from. A literature review has been conducted to find the present development directions in quality checking, besides a market research on present, already widely used solutions. With the conclusions of these research and modern data management theory, the principles of a holistic approach have been defined for quality checking in the Architecture, Engineering and Construction (AEC) industry. A comparative analysis has been made on current BIM compliance checking solutions according to our review principles. Based on current practice and ongoing research, a state-of-the-art BIM quality control ecosystem is proposed that is open, enables automation, promotes interoperability, and leaves the data governing responsibility at the sources of the requirements. In order to facilitate the flow of requirement and quality data, we propose a model for requirements as Linked Data and provide example for quality checking using Shapes Constraint Language (SHACL). As a result, an opportunity is given for better quality and cheaper BIM design methods to be implemented in the industry.
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Soliman-Junior, J., P. Tzortzopoulos und M. Kagioglou. „Automated Regulatory Compliance towards Quality Assurance in Healthcare Building Projects“. IOP Conference Series: Earth and Environmental Science 1101, Nr. 8 (01.11.2022): 082012. http://dx.doi.org/10.1088/1755-1315/1101/8/082012.

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Abstract Healthcare building projects are severely constrained by their associated regulatory frameworks. In this context, regulatory requirements define a basic outline upon which design is developed, as well as aid designers towards compliance to minimum standards. Automation has been explored by existing research focusing mostly on compliance checking (i.e., quality control). There has been limited developments within this domain related to quality assurance. This paper aims to highlight what are key needed improvements to enable the use of automation to promote quality assurance for regulatory compliance in healthcare building projects. For this purpose, an ongoing revision of a British healthcare design guidance document (HBN 11-01) was analysed according to a requirements’ taxonomy. Key areas of improvement needs were highlighted based on a series of interviews. Our main findings relate to identifying that despite the guidance character of regulatory documents in the UK, they are rarely used for this purpose, revealing the focus on quality control. In this context, the regulatory framework could be repositioned as a catalyst towards automated design quality assurance as long as (i) the regulatory documents are developed and revised to fit automated design processes; and (ii) there are compatible software developments to streamline design processes through automation.
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LAM, HO-PUN, und MUSTAFA HASHMI. „Enabling reasoning with LegalRuleML“. Theory and Practice of Logic Programming 19, Nr. 1 (14.09.2018): 1–26. http://dx.doi.org/10.1017/s1471068418000339.

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AbstractIn order to automate verification process, regulatory rules written in natural language need to be translated into a format that machines can understand. However, none of the existing formalisms can fully represent the elements that appear in legal norms. For instance, most of these formalisms do not provide features to capture the behavior of deontic effects, which is an important aspect in automated compliance checking. This paper presents an approach for transforming legal norms represented using legalruleml to a variant of modal defeasible logic (and vice versa) such that a legal statement represented using LegalRuleML can be transformed into a machine-readable format that can be understood and reasoned about depending upon the client's preferences.
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Demir Altıntaş, Yelin, und Mustafa Emre Ilal. „Loose coupling of GIS and BIM data models for automated compliance checking against zoning codes“. Automation in Construction 128 (August 2021): 103743. http://dx.doi.org/10.1016/j.autcon.2021.103743.

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Kim, Inhan, Jungsik Choi, Evelyn Ai Lin Teo und Hongwei Sun. „DEVELOPMENT OF K-BIM E-SUBMISSION PROTOTYPICAL SYSTEM FOR THE OPENBIM-BASED BUILDING PERMIT FRAMEWORK“. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 26, Nr. 8 (05.11.2020): 744–56. http://dx.doi.org/10.3846/jcem.2020.13756.

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With the popularization of Building Information Modeling (BIM) technology, increasing numbers of countries are attempting to introduce BIM into their national building permitting processes. There are also many BIM-related research initiatives worldwide. Likewise, the Korean government has joined this trend by improving its existing e-Submission system, SEUMTER, to provide for BIM-based e-submission and automated code compliance checking. Further, the Ministry of Land, Infrastructure, and Transport in Korea has funded the Korea BIM (KBIM) building e-Submission system project. The Industry Foundation Classes (IFC) data model is an openBIM approach that has been designated as an international standard through the International Organization for Standardization. It is not dependent on specific design tools and is suitable for public works applications. Hence, this study performed a comprehensive analysis of and developed a framework for a prototypical system for an e-Submission process based on the IFC data model. Four main modules were developed to perform code checking, submission, pre-checking, and automated rule-making. A real-world project was used to verify the feasibility and effectiveness of the proposed framework. This study could increase the adoption of BIMbased building e-Submission systems by sharing effective and successful processes.
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Hashmi, Mustafa. „On Modelling Process Aspects With Deontic Event-Calculus“. International Journal of Service Science, Management, Engineering, and Technology 13, Nr. 1 (Januar 2022): 1–19. http://dx.doi.org/10.4018/ijssmet.297498.

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Intuitive and faithful modelling the compliance requirements about the process aspects is a prerequisite for their automated compliance checking. Several formalisms with varying degrees of expressiveness for modelling compliance requirements have been reported in the literature. Deontic Event-Calculus (DEC) is a normative variant of Event-Calculus (EC) formalism with predicates to modelled normative requirements. However, currently, DEC does not support capturing normative requirements about the process aspects. In this paper, we extend DEC with new deontic predicates to model process aspects of data, time, control flow, and resources. The extended deontic predicates enable DEC to intuitively represent the compliance requirements relevant to aspects of a business process. Besides, we report the complexity evaluation of the extended deontic predicates using well-known Halstead’s complexity metrics. Evaluation result demonstrates that the complexity of modelling the compliance rules with DEC predicates is significantly lower even when the complexity of the standard EC is exponential.
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Bloch, Tanya, und Rafael Sacks. „Clustering Information Types for Semantic Enrichment of Building Information Models to Support Automated Code Compliance Checking“. Journal of Computing in Civil Engineering 34, Nr. 6 (November 2020): 04020040. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000922.

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Lehoczky, Dániel, Dean Garcia und Peter Nørkjær Gade. „Adapting the 3S-model for investigating trust in arc solutions in the Danish construction industry“. Journal of Information Technology in Construction 27 (22.11.2022): 991–1009. http://dx.doi.org/10.36680/j.itcon.2022.048.

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Automated solutions to building compliance checking has been slow in its implementation in the Danish construction industry. Mainly socio-technical barriers, such as trust in automation challenge the spread of technological advances from research and development. This paper studies the trust relationship of Architectural, Engineering, and Construction (AEC) professionals towards Automated Rule Checking (ARC) systems in Denmark. The 3S-model from the field of cognitive psychology was employed to help understanding the varying ways people assess information credibility. Three hypotheses were tested through experimentation to investigate the significance of different information features, and pertaining user characteristics on human-automation trust behaviors in the domain of ARC. Although the highly specified research area targeted a relatively small demographic within the Danish construction industry, the findings present an interesting new perspective on the common characteristics and trust behaviors of the end user. With the refinement of the framework’s application, the 3S-model can elucidate the many factors that are believed to influence technology acceptance within the industry. This research aims to contribute to the development of ARC solutions with a front-end viewpoint on trustworthiness.
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Aversa, Rocco, Beniamino Di Martino, Michele Di Natale und Salvatore Venticinque. „Agents Network for Automatic Safety Check in Constructing Sites“. International Journal of Adaptive, Resilient and Autonomic Systems 2, Nr. 2 (April 2011): 23–36. http://dx.doi.org/10.4018/jaras.2011040102.

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Compliance with safety standards in constructing sites is a mandatory activity that helps prevent a high number of fatalities during working activities. Unfortunately, because of negligence or limited resources, safety checks are not performed with regularity and this causes a high number of accidents. This paper proposes a distributed solution for automated checking of safety rules, secure logging of violations, and real-time execution of reactions. The constructing site is modeled as a pervasive environment where software agents, executing on smart devices, can detect and interact with people, machineries, and safety equipment to check the compliance of common behaviors with the safety plan designed for that site. The design is presented as a working prototype of a three layered software/hardware architecture.
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Sunaeva, G. G., und K. A. Petrova. „IMPLEMENTATION OF COMPLIANCE CONTROL IN THE CONDITIONS OF DIGITALIZATION OF THE ECONOMY“. Bulletin USPTU Science education economy Series economy 2, Nr. 40 (2022): 16–23. http://dx.doi.org/10.17122/2541-8904-2022-2-40-16-23.

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The article discusses the general implementation of compliance control in the internal control system of Russian companies in the context of the digitalization of the economy. Currently, digitalization has penetrated into all areas of activity of commercial organizations. Digital compliance technologies are becoming relevant, as they help to more efficiently and comfortably deal with large amounts of data that are inherent in any corporate system. The latest technologies and ways of processing big data allow the development of compliance programs, legal and ethical requirements, which involve fundamentally new approaches. Digital solutions free the staff from manual labor, thereby minimizing the human factor, which reduces the risk of regulatory violations. This is confirmed by the results of the implementation of a compliance system using digital technologies in a number of Russian companies, such as Sberbank PJSC, VimpelCom PJSC, etc. With the help of digital technologies in the compliance system, companies have achieved success in managing conflicts of interest, combating corruption, monitoring fraudulent schemes, and strengthening information security. The article analyzes the digital technologies in the field of compliance currently on the market, which are able to increase the effectiveness of compliance control by replacing human experts in routine operations with the help of deeper machine analysis, and identifies the advantages and disadvantages of each system. Having identified the main risks faced by Russian companies, automated solutions are proposed in the process of creating a new product: automating the system for checking compliance of documentation with legislation and automating the system for checking suppliers and customers of the company with a rating. These proposals will help minimize the reputational and legal risks of the company. The advantages of converting compliance to digital format are to reduce the risks of bringing the company to penalties from government agencies, reduce the risk of fraud and corruption schemes in the company's internal system, increase the investment attractiveness and reputation of the company, and eliminate the risk of leakage of confidential information.
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Jiang, Liu, Jianyong Shi und Chaoyu Wang. „Multi-ontology fusion and rule development to facilitate automated code compliance checking using BIM and rule-based reasoning“. Advanced Engineering Informatics 51 (Januar 2022): 101449. http://dx.doi.org/10.1016/j.aei.2021.101449.

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Kozyreva, A., U. Nazarenko, A. Berezhkov und N. Nasyrov. „Analysis of the text of the FQP for automated standard control of documents“. Journal of Physics: Conference Series 2131, Nr. 2 (01.12.2021): 022102. http://dx.doi.org/10.1088/1742-6596/2131/2/022102.

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Abstract This publication focuses on underdevelopment the possibilities of machine learn-ing to help students prepare their final qualifying paper. Purpose of the study: present the possibilities of machine learning for processing final qualifying paper texts and checking them for compliance with the requirements. The article shows the possibilities of distributing work by topic, which can help students in finding materials on their topic and algorithms for extracting and analyzing text in Rus-sian for further analysis. The research is carried out on the basis of the CRISP DM methodology and describes in detail all the necessary research steps. The pa-per shows the process of extracting text from pdf and docx files; the necessary methods of text preprocessing for further analysis; and demonstrates the capabili-ties of machine learning algorithms using the example of LDA analysis.
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LIN, HONG. „TOWARD AUTOMATED GENERATION OF CHINESE CLASSIC POETRY“. New Mathematics and Natural Computation 09, Nr. 02 (Juli 2013): 153–81. http://dx.doi.org/10.1142/s1793005713400024.

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The forms of Chinese classic poetry have been developed through thousands of years of history and are still current in today's poetry society. A re-classification of the rhyming words, however, is necessary to keep the classic poetry up to date in the new settings of modern Chinese language. To ease the transition process, computing technology is used to help the readers as well as poetry writers to check the compliance of poems in accordance with the forms and to compose poems without the effort to learn the old grouping of rhyming words. A piece of software has been developed in a faculty/student research project at the University of Houston-Downtown to verify this idea. This software, called Chinese classic poetry wizard, provides the functionality of checking metrical forms and rhyming schemes. It also allows users to edit rhyme dictionaries and metrical forms. The new rhyming scheme proposed in this paper should rationalize the composition rules of classic Chinese poetry in the modern society; and the poem composition wizard will provide a handy tool for poem composition. This work will help revive Chinese classic poetry in modern society and, in a sequel, contribute to the current campaign of advocating Chinese traditional teachings.
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Zhang, Ruichuan, und Nora El-Gohary. „A deep neural network-based method for deep information extraction using transfer learning strategies to support automated compliance checking“. Automation in Construction 132 (Dezember 2021): 103834. http://dx.doi.org/10.1016/j.autcon.2021.103834.

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Shin, Jaeyoung, und Jin-Kook Lee. „Application of Classification of Object-property Represented in Korea Building Act Sentences for BIM-enabled Automated Code Compliance Checking“. Korean Journal of Computational Design and Engineering 21, Nr. 3 (01.09.2016): 325–33. http://dx.doi.org/10.7315/cde.2016.325.

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Melzner, Jürgen, Sijie Zhang, Jochen Teizer und Hans-Joachim Bargstädt. „A case study on automated safety compliance checking to assist fall protection design and planning in building information models“. Construction Management and Economics 31, Nr. 6 (Juni 2013): 661–74. http://dx.doi.org/10.1080/01446193.2013.780662.

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